Experimental News Clipping Site

Tag: language models

  • Hacker News: Controlling AI’s Growing Energy Needs

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    Source URL: https://cacm.acm.org/news/controlling-ais-growing-energy-needs/ Source: Hacker News Title: Controlling AI’s Growing Energy Needs Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The provided text highlights the significant energy demands associated with training large AI models, particularly large language models (LLMs) like ChatGPT-3. It discusses the exponential growth in energy consumption for AI model training, the…

  • Hacker News: Sei AI (YC W22) Is Hiring an AI/ML Engineer with LLM Exposure

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    Source URL: https://www.ycombinator.com/companies/sei/jobs/TYbKqi0-ai-ml-llm-engineer Source: Hacker News Title: Sei AI (YC W22) Is Hiring an AI/ML Engineer with LLM Exposure Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces Sei, an AI-driven regulatory compliance platform actively recruiting AI/ML engineers to enhance its technological abilities and support its rapid growth. The focus on developing…

  • Simon Willison’s Weblog: Quoting Menlo Ventures

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    Source URL: https://simonwillison.net/2024/Nov/29/menlo-ventures/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Menlo Ventures Feedly Summary: Among closed-source models, OpenAI’s early mover advantage has eroded somewhat, with enterprise market share dropping from 50% to 34%. The primary beneficiary has been Anthropic,* which doubled its enterprise presence from 12% to 24% as some enterprises switched from GPT-4 to Claude…

  • Hacker News: CleaR: Robust and Generalized Parameter-Efficient Fine-Tuning for Noisy Labels

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    Source URL: https://arxiv.org/abs/2411.00873 Source: Hacker News Title: CleaR: Robust and Generalized Parameter-Efficient Fine-Tuning for Noisy Labels Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a novel approach to Parameter-Efficient Fine-Tuning (PEFT) designed to enhance model performance when working with noisy labeled data. This research is particularly relevant for professionals in AI,…

  • Simon Willison’s Weblog: Quoting Andrej Karpathy

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    Source URL: https://simonwillison.net/2024/Nov/29/andrej-karpathy/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Andrej Karpathy Feedly Summary: People have too inflated sense of what it means to “ask an AI" about something. The AI are language models trained basically by imitation on data from human labelers. Instead of the mysticism of "asking an AI", think of it more as…

  • Simon Willison’s Weblog: LLM Flowbreaking

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    Source URL: https://simonwillison.net/2024/Nov/29/llm-flowbreaking/#atom-everything Source: Simon Willison’s Weblog Title: LLM Flowbreaking Feedly Summary: LLM Flowbreaking Gadi Evron from Knostic: We propose that LLM Flowbreaking, following jailbreaking and prompt injection, joins as the third on the growing list of LLM attack types. Flowbreaking is less about whether prompt or response guardrails can be bypassed, and more about…

  • Schneier on Security: Race Condition Attacks against LLMs

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    Source URL: https://www.schneier.com/blog/archives/2024/11/race-condition-attacks-against-llms.html Source: Schneier on Security Title: Race Condition Attacks against LLMs Feedly Summary: These are two attacks against the system components surrounding LLMs: We propose that LLM Flowbreaking, following jailbreaking and prompt injection, joins as the third on the growing list of LLM attack types. Flowbreaking is less about whether prompt or response…

  • Hacker News: Multimodal Interpretability in 2024

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    Source URL: https://www.soniajoseph.ai/multimodal-interpretability-in-2024/ Source: Hacker News Title: Multimodal Interpretability in 2024 Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses advancements in multimodal interpretability within AI, highlighting a shift towards mechanistic and causal interpretability methods over traditional techniques. It emphasizes the integration of interpretability across language and vision models and outlines various…

  • Hacker News: An Intuitive Explanation of Sparse Autoencoders for LLM Interpretability

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    Source URL: https://adamkarvonen.github.io/machine_learning/2024/06/11/sae-intuitions.html Source: Hacker News Title: An Intuitive Explanation of Sparse Autoencoders for LLM Interpretability Feedly Summary: Comments AI Summary and Description: Yes **Summary**: The text discusses Sparse Autoencoders (SAEs) and their significance in interpreting machine learning models, particularly large language models (LLMs). It explains how SAEs can provide insights into the functioning of…

  • Hacker News: Conversational Game Theory

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    Source URL: https://aikiwiki.com/ Source: Hacker News Title: Conversational Game Theory Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses “Conversational Game Theory,” a formal structure designed to facilitate conflict resolution and consensus building through interaction between AI and humans. This approach is proposed as a means to enhance large language models (LLMs)…